Senior Data Architect, AI & Analytics Platforms

This is a fully remote position, open to applicants in Argentina.

📋 Description

• Design and implement scalable, cloud-native analytics platforms utilizing Databricks and Snowflake.

• Facilitate self-service access to insights, predictive models, and GenAI-assisted analytics tools.

• Serve as a liaison between business strategy and engineering teams.

• Convert complex business rules into modular SQL/Python code, data models, and scalable platform services.

• Create, enhance, and automate campaign measurement engines and algorithms, including iROAS and Test vs. Control.

• Develop integration pipelines and data models that unify retail POS data, third-party syndicated datasets, and internal platform metrics.

• Transform exploratory analytical models into production-ready analytical tools.

• Optimize the cloud data warehousing and decision intelligence ecosystem.

• Collaborate with and mentor both senior and junior data engineers.

• Articulate platform capabilities to non-technical business stakeholders.

⛳️ Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Business Analytics, Data Science, or a related quantitative discipline.

• Over 8 years of progressive experience in data engineering, platform development, or analytics architecture.

• More than 3 years of experience operating at a senior technical level.

• Strong background in CPG/Retail analytics.

• Familiarity with point-of-sale (POS) transactional data.

• Understanding of campaign measurement methodologies, including Test vs. Control.

• Experience in the digital Retail Media Network (RMN) sector, encompassing in-store digital media, DOOH, and ESL.

• Practical experience in architecting and deploying analytics solutions on Databricks or Snowflake.

• Advanced skills in SQL and Python.

• Experience in database design and star/snowflake schema data modeling.

• Proficient in ETL/ELT pipeline design and API integration.

• Experience in integrating machine learning models, predictive algorithms, and AI tools into operational analytics workflows.

• Capability to write production code alongside data engineers.

• Strong organizational, communication, and problem-solving abilities.

• Ability to lead technical execution across cross-functional teams and effectively communicate platform capabilities to non-technical stakeholders.

• Final candidates must successfully undergo a comprehensive background check and drug screening.

• Identity verification may involve video and/or in-person interviews and a brief photo.

🏝️ Benefits

• Inclusive Care: Access to our extensive network of medical and behavioral health professionals.

• 401(k) Savings Plan with an automatic 3% contribution and a 50% matching contribution on the first 7% contributed.

• Options for healthcare and insurance.

• Generous paid vacation policy.

• Remote work opportunities for employees located more than 40 miles from a Vestcom location.

• Commitment to equal opportunity employment.

• Reasonable accommodations available for applicants.

• Post-offer background check and drug screening required.